* fix uint8 check in assign

* fix assign unittests

* fix xpu test_assign

* add more conditions

* dynamic shape

* ut

* correct contidions

* commnent

* remove rebandadnt op type

* remove rebandant if

* Add GLIBCXX_USE_CXX11_ABI flag

* fix typo

* fix typo

* run pre-commit

* use HOST or DEVICE instead of HOSTDEVICE in implementation of lgamma op

* add test for fp32

* add lgamma to op_threshold_white_list

* add cuda kernel for lgamma kernel

* modify numeric grad delta

* fix small English issue

* change LaunchElementwiseCudaKernel to LaunchSameDimsElementwiseCudaKernel

* modify API nn.Bilinear's doc, test=develop

* speed up paddle.add paddle.nn.Linear, test=develop

* fix bug, test=develop

* support ssd in PsCore

* remove log

* remove bz2

* defalut value

* code style

* parse table class

* code style

* add define

* Unify all external API error message mechanism and enhance third-party API error msg

* fix some comment

* fix some comment

Change-Id: I2e82dfcee6a1d0512b94cebc32281123fa5bf597

* pretty print for datafeed error

Change-Id: I056a8b6f03608e96679a83846c97aed289cef7e6

* fix fleet dist infer ut

* refine ~npuOpRunner

* implement destructor and forbid copy

* use reference to avoid copy

* use const reference

* relax adam precision

* fix top_k

Sigmoid: Out = Sigmoid(X)
SigmoidGrad: DX = DOut*(1-Out)*Out

[This Patch]
Out
DOut -> SigmoidGradGrad -> DOutNew
DDX                        DDOut

DDOut = (1-Out)*Out*DDX
DOutNew = (1-2*Out)*DOut*DDX

* added op cast functionality for fp32/bf16

* added newline

* added entries in static mode white list and unity build

* fixed failing tests

* changes after review

* added formatting

* upgraded tests file as reviewer suggested

* changes after review

* minor change

* add async save for sparse table
* add load profiler for sparse table
* add load info for sparse table

* fix pipeline

* fix mp pp dp

* fix utest of hybrid parallel

* add utest for tuple

* added support for most matmul cases

* added more functionality

* full functionality of matmul op, fp32 only

* added bf16 tests and functionality

* added formatting

* changes after review

* minor change

* added reviewers suggestions

* replace complex in set tensor from and to numpy

* replace complex template in cast op

* cast indices and label if their type is not consistent

* fix bug

* add unittest

* fix gather op and add logsumexp op on kunlun

* update xpu depence

* update tests and fix elementwise_add

* Support convert sublayers in Sequential Container

* remove paddle.jit.set_code_level

* fix test_paddle_save_load and test_paddle_save_load_binary

* fix unittest:test_paddle_save_load and test_paddle_save_load_binary

* delete *.pyc

* add comment for unittest

* [Rocm] fix test of random_crop_op

* [Rocm] fix test of random_crop_op

* [Rocm] fix test of random_crop_op & simple_rnn_op

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & simple_rnn_op & logsumexp

* [Rocm] fix test of random_crop_op & logsumexp

* Fix slow data reading, In the old version, one epoch read time of this data set was about 5371 seconds(MacBook Pro Retina, 13-inch, Early 2015 2.7 GHz), and a batch took 211 seconds, It's too painful to use. Now decompress the data in advance (about 10 seconds). Each epoch of reading takes about 3 seconds(MacBook Pro Retina, 13-inch, Early 2015 2.7 GHz), and a batch takes 0.017 seconds more.

* Run CI, test=allcase

* fix qq group number. test=document_fix

 fix qq group number. test=document_fix

* fix qq group number. test=document_fix 

fix qq group number. test=document_fix

* BugFix StaticAanlysis with gast.Subscript

* remove codes

* Output indices of top_k npu op change to int64

* fix accuracy npu bug

* fix errors

* change cast method to FillNpuTensorWithConstant

* change cast method to FillNpuTensorWithConstant

* Update paths to Quant models

* Update description

* Enhance grep syntax to avoid random failed

* Enhance grep syntax to avoid random failed